Title of article :
assessment of snp interactions affecting total cholesterol over time using logic mixed model: tlgs study
Author/Authors :
mehrabi, yadollah shahid beheshti university of medical sciences - school of public health - department of epidemiology, ايران , sarbakhsh, parvin tabriz university of medical sciences - department of public health, statistics and epidemiology, ايران , houwing-duistermaat, jeanine j. leiden university medical centre - department of medical statistics and bioinformatics, netherlands , zayeri, farid shahid beheshti university of medical sciences - proteomics research center, ايران , daneshpour, maryam sadat shahid beheshti university of medical sciences - cellular and molecular endocrine research center, research institute for endocrine sciences, ايران
From page :
1
To page :
5
Abstract :
background: serum total cholesterol is an established risk factor for coronary heart diseases. in addition to environmental factors and main effects of polymorphisms, genetic interactions can influence cholesterol level. furthermore, polymorphisms effects can be timedependent. so, they could be valuable to study of genetic interactions over time. objectives: in this study we proposed logic mixed model to assess the association of singlenucleotide polymorphism and other risk factors with longitudinal quantitative cholesterol level with respect to their interactions. materials and methods: data of 329 subjects with age ≥ 20 years that participated in tehran lipid and glucose study with complete data for three phases of study was analyzed using proposed model. results: the results showed that the cholesterol level of male or subjects with gg genotype for apoaiv and normal waist circumstance and normal blood pressure was 19.8 mg/dl less than other subjects without this combination (β = -19.8, ci 95%: -13.9, -25.69). also, having high triglyceride or allele e2 for apoe was associated with an increased effect on cholesterol (β = 16.1, ci 95%: 11.64, 20.55). the level of the cholesterol in phase one of study was 21.4 mg/dl (ci 95%: 18.35, 24.44) more than other phases. the variance component of the random effect was statistically differing with zero. conclusions: in this study, we extended logic regression to the longitudinal quantitative response and applied it to the tlgs data. we identified some interactions among snps and other covariates related to cholesterol level using logic mixed model.
Keywords :
cholesterol , coronary disease , polymorphism , single nucleotide , regression analysis
Journal title :
Gene Cell Tissue
Journal title :
Gene Cell Tissue
Record number :
2648206
Link To Document :
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